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A Room Full of Experts, None of Them Human: Multi-Agent AI as Virtual Research Teams

Year: 2026

Type: preprint

Abstract: Scientific progress has historically depended on collaboration. For the first time, some collaborators may be non-human. Multi-agent artificial intelligence (AI) systems operate as teams of specialised digital scientists addressing shared challenges. Instead of relying on a single model, these systems integrate multiple AI agents, each assigned distinct roles, perspectives, or reasoning strategies. Agents generate proposals, critique one another’s suggestions, and iteratively refine solutions through both collaboration and competition. Advancement arises from the interaction of diverse viewpoints and the exchange of ideas, rather than from a single insight.

Source: ChemRxiv

DOI: 10.26434/chemrxiv.15001866/v1

Authors: Jiri Damborsky, Stanislav Mazurenko, Zhongyue John Yang, David Bednar

Institutions: Masaryk University, St. Anne's University Hospital Brno, Vanderbilt University

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, Grantová Agentura České Republiky

Awards: CETOCOEN Excellence, Engineering next-generation thrombolytics for the treatment of stroke

OpenAlex ID: W7154063497

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Cited by: 1

Related to: 10